Please provide the name and url of the dataset, website or other set of content that uses PROV to describe provenance. We also encourage you to fill out this form if your site uses an extension to PROV.

Details

Mapping between the Music Ontology, the Media Value Chain Ontology and the PROV-O. The Music Ontology describes general musical-related concepts, the Media Value Chain Ontology describes the Intellectual Property along the multimedia life-cycles and the PROV-O Ontology is the W3C standard for representing provenance information in the web. Together, these ontologies provide an homogeneous access to the chain of intermediate objects and actions that happen until a musical work is ready to be consumed (also known as the Music Workflow).

Luc Moreau

PROV-DM: the PROV data model

http://www.w3.org/TR/prov-dm/

Provenance is information about entities, activities, and people involved in producing a piece of data or thing, which can be used to form assessments about its quality, reliability or trustworthiness. PROV-DM is the conceptual data model that forms a basis for the W3C provenance (PROV) family of specifications. PROV-DM distinguishes core structures, forming the essence of provenance information, from extended structures catering for more specific uses of provenance. PROV-DM is organized in six components, respectively dealing with: (1) entities and activities, and the time at which they were created, used, or ended; (2) derivations of entities from entities; (3) agents bearing responsibility for entities that were generated and activities that happened; (4) a notion of bundle, a mechanism to support provenance of provenance; (5) properties to link entities that refer to the same thing; and, (6) collections forming a logical structure for its members.

This document introduces the provenance concepts found in PROV and defines PROV-DM types and relations. The PROV data model is domain-agnostic, but is equipped with extensibility points allowing domain-specific information to be included.

Two further documents complete the specification of PROV-DM. First, a companion document specifies the set of constraints that provenance should follow. Second, a separate document describes a provenance notation for expressing instances of provenance for human consumption; this notation is used in examples in this document.

The PROV Document Overview describes the overall state of PROV, and should be read before other PROV documents.

Jens Lehmann

DBpedia

http://dbpedia.org

Rinke Hoekstra

AERS-LD

http://aers.data2semantics.org

RDF representation of the Adverse Events repository of the FDA. Contains descriptions in PROV on how this data was constructed.

James McCusker

TWC Healthdata

http://healthdata.tw.rpi.edu

This site provides the Department of Health and Human Services' HealthData.gov Platform (HDP) as part of the semantic web.

Ashley Smith

University of Southampton Open Data

http://data.southampton.ac.uk/

The University of Southampton makes all of its non-confidential data public as linked open data. As most staff are not familiar with this, a team from iSolutions process and convert this data from its original formats and collate it on the open data site. The conversion process is described in PROV.

Luis M. Vilches-Blázquez

SIGNA

http://geo.linkeddata.es/

SIGNA is a dataset associated with the Geographic Information System of the Spanish National Geographic Institute. This dataset collects points of interest (POIs) that are made available as RDF (Resource Description Framework) knowledge bases according to the Linked Data principles. The provenance of the whole process is tracked using PROV-O terms.

Daniel Garijo

Dublin Core to PROV mapping

http://www.w3.org/TR/prov-dc/

Document providin a mapping between the Dublin Core Terms and the PROV-O ontology

Sarven Capadisli

OECD Linked Data

http://oecd.270a.info/

OECD (Organisation for Economic Co-operation and Development) data published using the Linked Data design principles.